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|a 9783540380504
|9 978-3-540-38050-4
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|a 10.1007/978-3-540-38050-4
|2 doi
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|a HB139-141
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|a 330.9
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|a Wenzelburger, Jan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Learning in Economic Systems with Expectations Feedback
|h [electronic resource] /
|c by Jan Wenzelburger.
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|a 1st ed. 2006.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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|a X, 176 p. 4 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|v 555
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|a Economic Systems With Expectations Feedback -- Adaptive Learning in Linear Models -- Economic Models Subject to Stationary Noise -- Nonparametric Adaptive Learning -- Stochastic Exchange Economies -- Heterogeneous Beliefs in a Financial Market.
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|a Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system. The framework for nonparametric adaptive learning schemes is developed and it is argued that plausible learning schemes should aim at estimating a perfect forecasting rule taking into account the correct feedback structure of an economy. A link is provided between the traditional rational-expectations view and recent behavioristic approaches.
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|a Econometrics.
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|a Macroeconomics.
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|a Quantitative Economics.
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|a Econometrics.
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|a Macroeconomics and Monetary Economics.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540806844
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|i Printed edition:
|z 9783540243229
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830 |
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|a Lecture Notes in Economics and Mathematical Systems,
|x 2196-9957 ;
|v 555
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|u https://doi.uam.elogim.com/10.1007/978-3-540-38050-4
|z Texto Completo
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|a ZDB-2-SBE
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|a ZDB-2-SXEF
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|a Business and Economics (SpringerNature-11643)
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|a Economics and Finance (R0) (SpringerNature-43720)
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